class_docstr: The MAC at the end of each epoch computed on a
  single pattern.
  This plugin metric only works at training time.
  
  The MAC will be logged after each training epoch.
docstr: Creates an instance of the EpochMAC metric.
docstr_tok: ["Creates","an","instance","of","the","EpochMAC","metric","."]
code: def __init__(self):
      """
      Creates an instance of the EpochMAC metric.
      """
      super(EpochMAC, self).__init__(
          reset_at="epoch", emit_at="epoch", mode="train"
      )
  
imports: from torch.nn import Module
  from typing import List, Optional
  from torch import Tensor
  from avalanche.evaluation import Metric, PluginMetric, GenericPluginMetric
label_desc: Use image node_id 1 to create a new EpochMAC object from inherited base classes: MACPluginMetric with example: obj = EpochMAC()